An optimization approach for process engineering problems under uncertainty Academic Article

abstract

• The problem of selecting an optimal design/plan for process models involving stochastic parameters is addressed in this paper. A classification of uncertainty is introduced depending on its sources and mathematical model structure. A combined multiperiod/stochastic optimization formulation is then proposed along with a decomposition-based algorithmic procedure for its solution. The appr oach is illustrated with a process synthesis/planning example problem. Copyright 1996 Elsevier Science Ltd. All rights reserved.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

• Ierapetritou, M. G., Acevedo, J., & Pistikopoulos, E. N.

citation count

• 69

complete list of authors

• Ierapetritou, MG||Acevedo, J||Pistikopoulos, EN

publication date

• June 1996

publisher

• Elsevier  Publisher

published in

• Computers and Chemical Engineering  Journal

keywords

• Bioengineering

Digital Object Identifier (DOI)

• 10.1016/0098-1354(95)00203-0

start page

• 703

end page

• 709

volume

• 20

issue

• 6-7

URL

• http://dx.doi.org/10.1016/0098-1354(95)00203-0